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IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2015

作者： Cha, Keum-Gang Yoon, Sung-Min Kim, Hyun-Hee Gim, Ki-Yeon Lee, Min-Cheol Department of Mechanical Engineering Pusan National University BusanKS102 Korea Republic of Interdisciplinary Program in Robotics Pusan National University BusanKS102 Korea Republic of School of Mechanical Engineering Pusan National University BusanKS102 Korea Republic of

ISBN: (纸本)9781467391078

In this paper, the estimation method of reaction force for electro-hydraulic servo system for movement is discussed. This reaction force estimation method is based on sliding perturbation observer that is robust observer technique. Before estimating reaction force, the modeling of electro-hydraulic servo system is processed. Before the fine modeling parameters of electro-hydraulic servo system, modeling equation is obtained through cylinder equation using expansion and shrinkage stroke process. After finding modeling equation, the obtaining accurate modeling parameter is carried out from signal compression method. After defining modeling parameter, reaction force estimation is operated by sliding perturbation observer. The analysis result of estimation for reaction force will be used for bilateral control with master-slave structure. © 2015 IEEE.

关键词： Estimation

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Development of USV Autonomy for the 2014 Maritime RobotX Challenge

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IFAC-PapersOnLine 2015年第16期48卷 13-18页

作者： Minju Kang Sungchur Kwon Jeonghong Park Taeyun Kim Jungwook Han Jeonghyeon Wang Seonghun Hong Yeonjoo Shim Sukmin Yoon Byunghyun Yoo Jinwhan Kim Department of Mechanical Engineering Korea Advanced Institute of Science and Technology Daejeon Korea Robotics Program Korea Advanced Institute of Science and Technology Daejeon Korea

The inaugural Maritime RobotX Challenge competition was held in Marina Bay, Singapore between October 20-26 in 2014. The competition composed of five mission tasks in which intelligence is the single most important factor, and all the mission tasks were required to be performed autonomously with no human intervention. We participated in the competition as the KAIST team with our own unmanned surface vehicle integrated with various sensors for autonomous navigation and perception. All the software algorithms for vehicle autonomy including mission management, environmental perception, path planning and control were developed and applied in the actual competition. This paper describes the given mission tasks of the competition and how the vehicle intelligence and control algorithms were designed in order to perform those mission tasks autonomously.

关键词： Unmanned surface vehicle vehicle autonomy navigation perception

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Dynamic object tracking of a quad-rotor with image processing and an extended Kalman filter

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Journal of Institute of Control, robotics and Systems 2015年第7期21卷 641-647页

作者： Kim, Ki-jung Yu, Ho-Yun Lee, Jangmyung Department Interdisciplinary Program in Robotics Pusan National University Korea Republic of Depart of Electrical Engineering Pusan National University Korea Republic of

This paper proposes a new strategy for a quad-rotor to track a moving object efficiently by using image processing and an extended Kalman filter. The goal of path planning for the quad-rotor is to design an optimal path from the start point to the destination point. To lengthen the freight time of the quad-rotor, an optimal path is required to reduce the energy consumption. To track a moving object, the mark signed on the moving object has been detected by a camera mounted first on the quad-rotor. The center coordinates of the mark and its area are calculated through the blob analysis which is one type of image processing. The mark coordinates are utilized to obtain information on the motion direction and the area of the mark is utilized to recognize whether the object moves backward or forward from the camera on the quad-rotor. In addition, an extended Kalman filter has been applied to predict the direction and speed of the dynamically moving object. Through these schemes, it is aimed that the quad-rotor can track the dynamic object efficiently in terms of flight distance and time. Through the two different route freights of the quad-rotor, the performance of the proposed system has been demonstrated. © ICROS 2015.

关键词： Extended Kalman filters

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Multi-crease self-folding by global heating

Multi-crease self-folding by global heating

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作者： Miyashita, Shuhei Onal, Cagdas D. Rus, Daniela Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology 32 Vassar Street 32-379 CambridgeMA02139 United States Worcester Polytechnic Institute Department of Mechanical Engineering Robotics Engineering Program 100 Institute Rd. HL 105 WorcesterMA01609 United States

This study demonstrates a new approach to autonomous folding for the body of a 3D robot from a 2D sheet, using heat. We approach this challenge by folding a 0.27-mm sheetlike material into a structure. We utilize the thermal deformation of a contractive sheet sandwiched by rigid structural layers. During this baking process, the heat applied on the entire sheet induces contraction of the contracting layer and thus forms an instructed bend in the sheet. To attain the targeted folding angles, the V-fold spans method is used. The targeted angle θout can be kinematically encoded into crease geometry. The realization of this angle in the folded structure can be approximately controlled by a contraction angle θin. The process is non-reversible, is reliable, and is relatively fast. Our method can be applied simultaneously to all the folds in multi-crease origami structures. We demonstrate the use of this method to create a lightweight mobile robot. © 2015 Massachusetts Institute of Technology.

关键词： Self assembly

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A position generation algorithm utilizing a biomechanical model for robot-human object handover

A position generation algorithm utilizing a biomechanical mo...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Halit Bener Suay Emrah Akin Sisbot Robotics Engineering Program Worcester Polytechnic Institute MA USA Toyota InfoTechnology Center Mountain View CA USA

ISBN: (纸本)9781479969241

We present a novel approach for generating candidate handover positions for human receivers. The object handover problem involves several variables and is under-constrained. The sheer number of possibilities makes it nontrivial to find a good object handover position for existing algorithms. To address this problem, we introduce the use of a custom biomechanical model in a novel algorithm for generating a handover position. The biomechanical model serves as a tool for approximating the static strength a human receiver needs to exert in order to receive an object. A mobile manipulator can use the output of our algorithm when calculating a target position for handing over an object to a human. We show preliminary results involving electromyography data and joint moment values, as well as a proof-of-concept implementation with a mobile manipulator to fetch a toolbox to a receiver.

关键词： Handover Receivers Biological system modeling Joints Electromyography Biomechanics

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Human-centered design of a cyber-physical system for advanced response to Ebola (CARE)

Human-centered design of a cyber-physical system for advance...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Velin Dimitrov Vinayak Jagtap Jeanine Skorinko Sonia Chernova Michael Gennert Taşkın Padır Robotics Engineering Program Worcester Polytechnic Institute Worcester MA USA Worcester Polytechnic Institute Worcester MA US

We describe the process towards the design of a safe, reliable, and intuitive emergency treatment unit to facilitate a higher degree of safety and situational awareness for medical staff, leading to an increased level of patient care during an epidemic outbreak in an unprepared, underdeveloped, or disaster stricken area. We start with a human-centered design process to understand the design challenge of working with Ebola treatment units in Western Africa in the latest Ebola outbreak, and show preliminary work towards cyber-physical technologies applicable to potentially helping during the next outbreak.

关键词： Robot sensing systems Safety Africa Diseases Tracking

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Erratum to: Supplemental vibrotactile feedback control of stabilization and reaching actions of the arm using limb state and position error encodings

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Journal of neuroengineering and rehabilitation 2017年第1期14卷 69页

作者： Alexis R Krueger Psiche Giannoni Valay Shah Maura Casadio Robert A Scheidt Biomedical Engineering Marquette University Milwaukee WI USA. Informatics Bioengineering Robotics and Systems Engineering University of Genova Genoa Italy. Robotics Brain and Cognitive Science Italian Institute of Technology Genoa Italy. Biomedical Engineering Marquette University Milwaukee WI USA. robert.scheidt@marquette.edu. Physical Medicine and Rehabilitation Northwestern University Feinberg School of Medicine Chicago IL USA. robert.scheidt@marquette.edu. Sensory Motor Performance Program Rehabilitation Institute of Chicago Chicago IL USA. robert.scheidt@marquette.edu. Neurology Medical College of Wisconsin Wauwatosa WI USA. robert.scheidt@marquette.edu. Neuromotor Control Laboratory Department of Biomedical Engineering Marquette University Olin Engineering Center 206 P.O. Box 1881 Milwaukee WI 53201-1881 USA. robert.scheidt@marquette.edu.

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Development of a drone-type wall-sticking and climbing robot

Development of a drone-type wall-sticking and climbing robot

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International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： W.C. Myeong K.Y. Jung S.W. Jung Y.H. Jung H. Myung Dept. of Civil and Environmental Engineering KAIST Daejeon South Korea Robotics Program KAIST Daejeon South Korea

Urban structures need constant maintenance and inspection of the structural health condition and safety of the users, however, to access the structure is getting harder and harder due to their enormous height and size. In order to deal with this problem, though many researchers have developed several robots for wall-climbing there is no guaranteed solution yet. One of the critical reasons why existing wall-climbing robots haven't been available in the field is the risk of accidental fall due to operational failure from the harsh environment like strong wind and surface's unpredictable condition. Therefore, we tried to develop a drone-type wall-climbing aerial robot platform that can approach to any place of the structure by flying and sticking to the target place with pose change and perching mechanism. The robot is equipped with a locomotion mechanism like other wall-climbing robots to move on the vertical surface of the structure. This paper deals with installing the wall-climbing mechanism on the aerial robot, its pose change and wall sticking mechanism, and locomotion on the vertical surface of an urban structure.

关键词： Mobile robots Wheels Force Rotors Payloads Propellers

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

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arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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The evaluation of scratch reduction in Flying Touch method by using SMCSPO

The evaluation of scratch reduction in Flying Touch method b...

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International Conference on Control, Automation and Systems ( ICCAS)

作者： Sung jin Kim Hyun Hee Sung min Yoon Min Cheol Lee School of Interdisciplinary Program in Robotics Pusan National University Busan SouthKorea School of Mechanical Engineering Pusan National University Busan SouthKorea

Scratch defects is occur due to impact drop and friction between the roller and slab in the conventional hot rolling method. The Flying Touch method is one of the proposed methods to improve the scratch defects. Flying Touch method is available to soft touch between the rollers and the slab. Because roller is unfixed and flexible. And Flying Touch method is proposed synchronization of the rollers' angular velocity and the slab's surface velocity. In this paper, a simulator was designed to apply and verify the Flying Touch method. After, the actual implementation was velocity synchronization of Flying Touch method in the designed simulator. Performance of scratch reduction evaluated comparative experiment to velocity de-synchronization and velocity synchronization of Flying Touch method.

关键词： Synchronization Slabs Control systems Frequency modulation

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